Location: Beijing , China
Submission deadline: 5/20/2022
Conference dates: 10/22/2022 - 10/24/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 767 | 8 | 13 | 2 |
| Computer Science | 562 | 44 | 55 | 6 |
This ranking presents a comprehensive overview of scientific conferences in the field of Computer Science, meticulously compiled to provide reliable and authoritative information for researchers, academics, and professionals. The ranking was prepared by Research.com, recognized as one of the leading websites for science research across all major disciplines, including Computer Science, and has been providing trusted data on scientific contributions since 2014.
The position of each conference within this ranking is determined by a unique bibliometric score developed by Research.com. This score incorporates the estimated h-index and the number of leading scientists who have presented at the conference over the previous three years, offering a multidimensional perspective on the impact and prestige of each event.
The Impact Score values featured in this ranking were gathered on 2024-11-27, ensuring a timely and up-to-date assessment. The ranking process involved a thorough examination of more than 2,742 conferences, which were selected after a detailed and rigorous analysis of over 148,739 scientific documents published within the last three years. These contributions were authored by 13,184 leading and highly respected scientists within the Computer Science community, reflecting both the breadth and the depth of scholarly activity considered in this evaluation.
Our methodology is designed to reflect both academic impact and the ongoing relevance of each conference, making this ranking a valuable resource for those seeking to identify the most influential venues in Computer Science research. For a detailed explanation of the methodology used to compute the ranking scores, please refer to our Methodology Page.
A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing at International Congress on Image and Signal Processing (based on the number of publications) are:
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing at International Congress on Image and Signal Processing (based on the number of publications) are:
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2020 edition, 7.77% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.47% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.16% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.74% of all publications and 42.63% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Pursuing a degree in Computer Science opens diverse opportunities, especially when combined with related fields. For those interested in handling large datasets, exploring data analysis programs can be a strategic choice. These programs focus on converting raw data into actionable insights, a skill highly valued across industries.
Advanced learners can deepen their expertise through an online PhD in data science. This path is ideal for those aiming for research or academic roles, blending computational techniques with statistics and machine learning.
Another growing intersection is between computing and biology, making a bioinformatics degree salary and jobs a compelling consideration. Bioinformatics expertise enables work with complex biological data, supporting breakthroughs in healthcare and genetics.
Those interested in the medical sphere may explore online healthcare programs. These programs often complement computer science skills, preparing graduates for tech-driven roles in medical informatics, health IT, and related fields.
Hong Kong Polytechnic University
Tencent (China)
Peking University
Fudan University
Yonsei University
Tsinghua University
University of New South Wales
Macquarie University
Macquarie University
Shenzhen University
Zhejiang University
Nankai University
